Abstract

The article analyses the integration of Large Language Model (LLM)-based interfaces (editorial LLMs or eLLMs) in scholarly publishing workflows, focusing specifically on their growing role in editorial screening, manuscript preparation, and peer-review processes. It assesses the benefits eLLMs offer, including efficiency gains, improved compliance with journal guidelines, enhanced objectivity, and reduced editorial workload; and the risks, especially algorithmic biases, false positives and negatives, data privacy concerns, and potential opacity in automated decision-making. The article then offers some design recommendations for eLLMs that prioritise transparency, fairness, and user-centredness, ensuring human oversight remains integral to the editorial process. It concludes by encouraging a proactive and thoughtful engagement with these technologies to enhance scholarly publishing rather than undermine its values.